Retrieval-augmented generation
RAG-Star
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
Superseded baseline#159 of 1,179 most-superseded · first seen Dec 17, 2024
Superseded — cited as a baseline and beaten by newer methods
1 papers critique it · 1 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites RAG-Star as a baseline.
RAG-Star~jiang2024rag uses a fixed search tree for token-level retrieval control, but lacks dynamic pruning and does not support concurrent reasoning paths.
Beaten on benchmarks
Head-to-head results where a newer method reports beating RAG-Star. Values are copied from the source paper's tables — verify against the cited paper.
MCTS-RAG beats RAG-Star
67.3 vs 60.1
CWQA · [Llama 3.1-8B]
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.